Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/core/Types.h" |
| 25 | #include "arm_compute/runtime/CL/CLTensor.h" |
| 26 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| 27 | #include "arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h" |
| 28 | #include "tests/CL/CLAccessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
| 30 | #include "tests/datasets/RandomNormalizePlanarYUVLayerDataset.h" |
| 31 | #include "tests/datasets/ShapeDatasets.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Macros.h" |
| 34 | #include "tests/framework/datasets/Datasets.h" |
| 35 | #include "tests/validation/Validation.h" |
| 36 | #include "tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h" |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | namespace |
| 45 | { |
| 46 | constexpr RelativeTolerance<float> tolerance_f16(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ |
| 47 | constexpr RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 48 | constexpr AbsoluteTolerance<float> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 49 | } // namespace |
| 50 | |
| 51 | TEST_SUITE(CL) |
| 52 | TEST_SUITE(NormalizePlanarYUVLayer) |
| 53 | |
| 54 | template <typename T> |
| 55 | using CLNormalizePlanarYUVLayerFixture = NormalizePlanarYUVLayerValidationFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>; |
| 56 | |
| 57 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), framework::dataset::make("DataType", { DataType::F16 })), |
| 58 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 59 | shape0, shape1, dt, data_layout) |
| 60 | { |
| 61 | TensorShape src_dst_shapes = shape0; |
| 62 | if(data_layout == DataLayout::NHWC) |
| 63 | { |
| 64 | permute(src_dst_shapes, PermutationVector(2U, 0U, 1U)); |
| 65 | } |
| 66 | |
| 67 | // Create tensors |
| 68 | CLTensor src = create_tensor<CLTensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); |
| 69 | CLTensor dst = create_tensor<CLTensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); |
| 70 | CLTensor mean = create_tensor<CLTensor>(shape1, dt, 1); |
| 71 | CLTensor sd = create_tensor<CLTensor>(shape1, dt, 1); |
| 72 | |
| 73 | // Create and Configure function |
| 74 | CLNormalizePlanarYUVLayer norm; |
| 75 | norm.configure(&src, &dst, &mean, &sd); |
| 76 | |
| 77 | // Validate valid region |
| 78 | const ValidRegion valid_region = shape_to_valid_region(src_dst_shapes); |
| 79 | validate(dst.info()->valid_region(), valid_region); |
| 80 | } |
| 81 | |
| 82 | // *INDENT-OFF* |
| 83 | // clang-format off |
| 84 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| 85 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types |
| 86 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Window shrink |
| 87 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Unsupported data type |
| 88 | TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), |
| 89 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), // Mismatching mean and sd shapes |
| 90 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes |
| 91 | }), |
| 92 | framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), |
| 93 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), |
| 94 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 95 | TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16), |
| 96 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), |
| 97 | TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), |
| 98 | })), |
| 99 | framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16), |
| 100 | TensorInfo(TensorShape(2U), 1, DataType::F16), |
| 101 | TensorInfo(TensorShape(2U), 1, DataType::U8), |
| 102 | TensorInfo(TensorShape(8U), 1, DataType::F16), |
| 103 | TensorInfo(TensorShape(6U), 1, DataType::F16), |
| 104 | TensorInfo(TensorShape(2U), 1, DataType::F32), |
| 105 | })), |
| 106 | framework::dataset::make("Expected", { false, false, false, true, false, false })), |
| 107 | input_info, output_info, msd_info, expected) |
| 108 | { |
| 109 | const auto &mean_info = msd_info; |
| 110 | const auto &sd_info = msd_info; |
| 111 | bool has_error = bool(CLNormalizePlanarYUVLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &sd_info.clone()->set_is_resizable(false))); |
| 112 | ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); |
| 113 | } |
| 114 | // clang-format on |
| 115 | // *INDENT-ON* |
| 116 | |
| 117 | TEST_SUITE(Float) |
| 118 | TEST_SUITE(FP16) |
| 119 | FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), |
| 120 | framework::dataset::make("DataType", DataType::F16)), |
| 121 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 122 | { |
| 123 | // Validate output |
| 124 | validate(CLAccessor(_target), _reference, tolerance_f16, 0); |
| 125 | } |
| 126 | TEST_SUITE_END() |
| 127 | |
| 128 | TEST_SUITE(FP32) |
| 129 | FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), |
| 130 | framework::dataset::make("DataType", DataType::F32)), |
| 131 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) |
| 132 | { |
| 133 | // Validate output |
| 134 | validate(CLAccessor(_target), _reference, tolerance_f32); |
| 135 | } |
| 136 | TEST_SUITE_END() |
| 137 | TEST_SUITE_END() |
| 138 | |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 139 | template <typename T> |
| 140 | using CLNormalizePlanarYUVLayerQuantizedFixture = NormalizePlanarYUVLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>; |
| 141 | |
| 142 | TEST_SUITE(Quantized) |
| 143 | TEST_SUITE(QASYMM8) |
| 144 | FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(), |
| 145 | framework::dataset::make("DataType", DataType::QASYMM8)), |
| 146 | framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| 147 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) |
| 148 | { |
| 149 | // Validate output |
| 150 | validate(CLAccessor(_target), _reference, tolerance_qasymm8, 0); |
| 151 | } |
| 152 | TEST_SUITE_END() |
| 153 | TEST_SUITE_END() |
| 154 | |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 155 | TEST_SUITE_END() |
| 156 | TEST_SUITE_END() |
| 157 | } // namespace validation |
| 158 | } // namespace test |
| 159 | } // namespace arm_compute |